November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
Pangenome analysis reveals key genes for pig adaptation and traits, aiding genetic improvement.
56 citations
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January 1999 in “The Analyst” The method accurately measures certain steroids in human hair, showing different levels in males and females.
December 2025 in “BMC Medical Genomics” Hair follicles can be used to study gene expression and understand conditions like COPD.
March 2025 in “American Journal of Medical Genetics Part A” A rare genetic variant linked to skin cysts was found in blood DNA, suggesting its role in cyst formation.
7 citations
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November 2006 in “Journal of immunological methods” The method can help diagnose and monitor diabetes by analyzing hair.
January 2017 in “Murdoch Research Repository (Murdoch University)” A new genetic variant in the EEF2K gene may contribute to polycystic ovary syndrome.
July 2025 in “Journal of Investigative Dermatology” Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.
28 citations
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August 2018 in “BMC genomics” DNA methylation changes are linked to hair growth cycles in goats.
April 2017 in “Annales de Toxicologie Analytique” Hair analysis is crucial for diagnosing, managing, and monitoring addiction.
13 citations
,
December 2020 in “PLoS ONE” Genetic factors influence growth and brain development in children.
42 citations
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April 2009 in “Human Genetics” A specific genetic mutation may increase male pattern baldness risk, especially in Europeans.
287 citations
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July 2001 in “Journal of Cell Science” The study found 65 intermediate filament genes, including new keratins, and suggested updating keratin naming.
8 citations
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June 1981 in “Clinica Chimica Acta”
April 2018 in “Journal of Investigative Dermatology” Hair pattern in androgenetic alopecia overlaps with scalp and bone demarcations, with distinct gene profiles affecting susceptibility.
September 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Hair follicles and urine cell pellets are promising for transcriptome studies due to consistent quality and useful expression profiles.
71 citations
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February 2012 in “The American Journal of Human Genetics” A specific ATR gene mutation is linked to a hereditary oropharyngeal cancer syndrome.
September 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” The research provided new insights into the genetic factors contributing to hair loss and skin conditions by analyzing individual cells from the human scalp.
June 2014 in “Toxicologie analytique et clinique/Annales de toxicologie analytique” Older age increases positive hair alcohol test results, and chest hair is a good alternative for testing; season affects results, with higher levels in winter.
7 citations
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January 2005 in “Dermatology” A new method for studying hair follicles is easier and more precise, useful for hair loss and cancer treatment research.
1 citations
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February 2009 in “Clinical Genetics” New genes linked to male pattern baldness were found on chromosome 20p11.
October 2024 in “Frontiers in Pharmacology” Genetic variants can affect valproic acid's effectiveness, side effects, and levels in epilepsy treatment.
March 2025 in “Human Genetics and Genomics Advances” Genetic predictions of baldness in Europeans don't apply well to African men.
53 citations
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May 1988 in “Journal of Molecular Evolution” 37 citations
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January 2010 in “Human Molecular Genetics” FTase and GGTase-I are essential for skin keratinocyte health.
January 2009 in “Adelaide Research & Scholarship (AR&S) (University of Adelaide)” Identifying and manipulating key genes can improve wool quality and productivity in sheep.
January 2013 in “Faculty of Health; Institute of Health and Biomedical Innovation” Four genetic risk areas related to male-pattern baldness were identified, with WNT signaling playing a role in its development.
April 2023 in “Anatomy Physiology & Biochemistry International Journal” PCOS in Karnataka is influenced by genetics, lifestyle, obesity, and diabetes.